Master in Data Analysis and Analytics

Course Overview

• Course Title: Master in Data Analysis and Analytics
• Instructor: Arun Singhal
• Target Audience:
  • Beginners in Data Analysis
  • Professionals looking to enhance their skills
  • Students interested in Data Analytics
• Prerequisites:
  • Basic understanding of data concepts
  • Interest in Data Analysis and Analytics

Curriculum Highlights

• Key Topics Covered:
  • What is Data Analysis & Analytics
  • Difference between Data Analysis & Analytics, Business Analytics, and Data Science
  • Case Studies of Excellence in Data Analysis & Analytics
  • Building excellence in Data Analysis & Analytics
  • Ensuring Data Quality & Integrity
  • Centralizing Data with a Modern Infrastructure
  • Different Types of Analytics
  • Right Tools & Technologies
  • Understanding Business Needs & KPIs
  • Data-Driven Decision-Making Culture
  • Automating Reporting and Dashboards
  • Scalable Cloud & AI Solutions
  • Strong Visualization Skill
  • Translating Data into Actionable Insights
  • Ensuring Data Privacy & Compliance
  • Preventing Bias & Ensuring Transparency
• Key Skills Learned:
  • Data Quality & Integrity
  • Data Centralization
  • Analytics Application
  • Tool & Technology Selection
  • Business Needs & KPIs Understanding
  • Data-Driven Decision Making
  • Reporting & Dashboard Automation
  • Cloud & AI Solutions
  • Data Visualization
  • Actionable Insights Translation
  • Data Privacy & Compliance
  • Bias Prevention & Transparency

Course Format

• Duration:
  • 5.5 hours on-demand video
• Format:
  • Self-paced online course
• Resources:
  • 38 downloadable resources
  • Access on mobile and TV
  • Certificate of completion

Special Offer (If Applicable)

• Limited Time Coupon Code: N/A